GEOGLAM, JECAM and the Canadian Experience: From Research ...
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GEOGLAM, JECAM and the Canadian Experience: From Research to Operational Implementation of Agricultural Monitoring Ian Jarvis, Director - JECAM co-lead and Andy Davidson, EO Manager AgroClimate Geomatics and Earth Observation Division, Science and Technology Branch, Agriculture and Agri-Food Canada 1
Transcript of GEOGLAM, JECAM and the Canadian Experience: From Research ...
GEOGLAM, JECAM and the Canadian Experience: From Research to Operational Implementation of Agricultural Monitoring
Ian Jarvis, Director - JECAM co-lead and
Andy Davidson, EO Manager
AgroClimate Geomatics and Earth Observation Division, Science and Technology Branch, Agriculture and Agri-Food Canada
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JECAM Origins The GEO Agricultural Community of Practice established JECAM in 2009 to enhance international collaboration around agricultural monitoring towards a better use satellite remote sensing in operational systems
Monthly Wheat Prices 1960-2011($/Metric Ton) Source: World Bank Nominal wheat price
in US $/metric Ton 2008 Price hikes
Droughts
Australia & Ukraine
2010/11 Price hikes
Drought:
Russia
Landsat 1
Launched
(1972)
1971/72 price hike
Drought: Russia
JECAM achieves this by:
• Network of research sites distributed across the world • Share science, standards, satellite and in-situ data • Supporting methods inter-comparison of mapping, monitoring and
modeling
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JECAM Website
From Research to Operational Implementation:
Examples of Making Research Work for Agricultural Monitoring in Canada
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Decades of earth observation research has led to the development of
agricultural monitoring capabilities that are, or close to being
operational: o Crop type and area
o Near real-time crop condition.
o Snow cover, Soil moisture, Excessive wetness, Drought.
o Climate and weather related impacts on production.
o Crop yield forecasting.
o Harvest progress monitoring.
o Early season crop acreage estimates
o Soil management (tillage, crop residue).
o Biomass production.
o Crop damage, disease and pests.
o Soil health.
Earth Observation Working for Agriculture
Vision: To understand the state of Canadian agricultural production from pre-planting conditions through to post harvest conditions, and changes through time.
Operational
In Development
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Planned
All information is made publicly available (data.gc.ca)
EO-Based Products (Operational)
Winnipeg Manitoba Area
2013 Canadian Crop Inventory
Annual Space-Based Crop Inventory
o Annual crop inventories for all agricultural lands at
field level.
o Analysis is based on SAR (Radarsat-2) and optical
(Landsat-8) imagery.
o Applications are many and include support for
Canadian environmental performance indicators
and helping to facilitating market access for
Canadian Canola producers (i.e. EU RED
sustainability criteria).
EO-Based Products (Operational)
Interpolated Crop Yield
o Derived from the crop inventory
o Based on historical Annual Crop
Inventory Archive and interpolated crop
insurance yield information.
o Maps indicate single-year and multiple-
year yields and their variability for a
selection of major crops.
Legend
Coefficient of Variation (%)
44 - 128
31 - 43
21 - 30
12 - 20
0 - 11
Canola Coefficient of Variation (CV)of Yield between 2010-2014
EO-Based Products (Operational)
Near-Real-Time Surface Soil Moisture Mapping
o Near-real-time weekly, bi-weekly and monthly
surface soil moisture maps derived from daily
passive microwave data from the Soil Moisture
and Ocean Salinity (SMOS) satellite.
o Collaborating with USA (NASA and USDA) on
calibration and application development on
the Soil Moisture Active passive (SMAP) mission
NRT Crop Condition Assessment
o Near-real-time weekly maps of crop condition
and differences from normal conditions using
daily Moderate Resolution Imaging Spectro-
radiometer (MODIS) reflectance observations.
o Contributes to the Canadian GEOGLAM crop
condition assessments for the Agricultural
Market Information System (AMIS).
Canadian Crop Yield Forecaster (CCYF)
• Monthly crop yield forecasts during the growing
season using statistical forecast models, agri-
climate information and remotely sensed data.
• Integrates Annual Crop Inventory and Weekly
Crop Condition (NDVI) with AgroClimate data.
• Canada was first country to replace a yield
survey with modeled results
Climate-Related Production Risks Committee
• Integrates multiple AAFC geospatial datasets
and regional expertise to report bi-weekly on 17
climate-related risks to production.
• Plays significant role in evaluating weather and
climate-related risks to Canadian agriculture
and supports policy and program decisions.
• CRPRC reports are the basis of Canada`s
international reporting to GEOGLAM-AMIS.
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EO-Based Products (Operational)
Clients
Primary:
o Departmental (Science, policy and
makets);
o Other Government of Canada
Departments (Env, Stats …);
o Provinces & provincial agencies
o Commodity Groups (Canola, Crop
Sustainability Roundtable…).
o Agri-Business
Others:
o NGOs;
o Universities & Research Laboratories;
o International (GEOGLAM / JECAM).
Sustainability Dashboard for Policy
EO-Based Sustainability Metrics
Production Dashboard for Markets
Within-Season Crop Metrics
Game Changing Opportunities
Advances in availability of satellite EO data and information technology is evolving:
o Access to high spatial and temporal resolution data (e.g. Sentinel 1; Sentinel 2; RCM), data cubes and cloud processing
o Data continuity within and between missions;
o Long term data records, calibration between missions;
Leading to:
o Reliability! Better data for better decisions, greater uptake by policy and program decision makers;
o Support for new initiatives like the UN Sustainable Development Goals;
o Reduced survey burden on farmers and more rigorous information for the agriculture sector
Open data archives in Canada and elsewhere are: o Improving access to data, products and services;
o Increasing international collaboration; and
o Building bridges to the decision makers at many levels, from the farm to global scale initiatives
